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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
Topic 1	Automation and Efficiency: This section assesses Automation Engineers and SOAR Specialists in streamlining security operations. It covers developing automation for SOPs, optimizing case management workflows, utilizing REST APIs, designing SOAR playbooks for response automation, and evaluating integrations between Splunk Enterprise Security and SOAR tools.
Topic 2	Detection Engineering: This section evaluates the expertise of Threat Hunters and SOC Engineers in developing and refining security detections. Topics include creating and tuning correlation searches, integrating contextual data into detections, applying risk-based modifiers, generating actionable Notable Events, and managing the lifecycle of detection rules to adapt to evolving threats.
Topic 3	Auditing and Reporting on Security Programs: This section tests Auditors and Security Architects on validating and communicating program effectiveness. It includes designing security metrics, generating compliance reports, and building dashboards to visualize program performance and vulnerabilities for stakeholders.
Topic 4	Data Engineering: This section of the exam measures the skills of Security Analysts and Cybersecurity Engineers and covers foundational data management tasks. It includes performing data review and analysis, creating and maintaining efficient data indexing, and applying Splunk methods for data normalization to ensure structured and usable datasets for security operations.
Topic 5	Building Effective Security Processes and Programs: This section targets Security Program Managers and Compliance Officers, focusing on operationalizing security workflows. It involves researching and integrating threat intelligence, applying risk and detection prioritization methodologies, and developing documentation or standard operating procedures (SOPs) to maintain robust security practices.

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q91-Q96):

NEW QUESTION # 91
When developing security metrics, why would a Key Performance Indicator (KPI) that focuses on total perimeter firewall blocks be an ineffective metric?

A. This a Key Result Indicator, not a KPI. It is a metric that is measuring the results of the perimeter firewall's actions, not the performance of the firewall.
B. The metric is too high level, it should be broken down by the type of block. For example, blocks of remote systems that have repeated failed connections to services that do not exist.
C. Perimeter firewalls are exposed on the internet directly and thus subject to automated scanners and attack tools.
D. Perimeter firewalls should be measured on both the number of connections that they permit as well as the number they block.

Answer: C

Explanation:
A KPI based on total perimeter firewall blocks is ineffective because perimeter firewalls are constantly exposed to the internet and subject to automated scans and attack tools, which can generate very high block counts. This inflates the metric with noise, making it a poor indicator of actual security performance or risk reduction.

NEW QUESTION # 92
Which Splunk feature enables integration with third-party tools for automated response actions?

A. Event sampling
B. Data model acceleration
C. Workflow actions
D. Summary indexing

Answer: C

Explanation:
Security teams use Splunk Enterprise Security (ES) and Splunk SOAR to integrate with firewalls, endpoint security, and SIEM tools for automated threat response.
#Workflow Actions (B) - Key Integration Feature
Allows analysts to trigger automated actions directly from Splunk searches and dashboards.
Can integrate with SOAR playbooks, ticketing systems (e.g., ServiceNow), or firewalls to take action.
Example:
Block an IP on a firewall from a Splunk dashboard.
Trigger a SOAR playbook for automated threat containment.
#Incorrect Answers:
A: Data Model Acceleration # Speeds up searches, but doesn't handle integrations.
C: Summary Indexing # Stores summarized data for reporting, not automation.
D: Event Sampling # Reduces search load, but doesn't trigger automated actions.
#Additional Resources:
Splunk Workflow Actions Documentation
Automating Response with Splunk SOAR

NEW QUESTION # 93
When creating a case in Splunk SOAR, which action should be taken to correlate various findings (risk notables) to ensure all are actioned?

A. Search Splunk Enterprise Security for similar or duplicate events based on the risk_object field in a risk notable.
B. Search Splunk Enterprise Security for all related events based on key fields in a risk notable and select how to process the results to decide which events to merge into the current investigation.
C. Search Splunk Enterprise Security for similar or duplicate events based on the threat_object field in a risk notable.
D. Search Splunk Enterprise Security for all related events based on key fields in a notable and select how to process the results to decide which events to merge into the current investigation.

Answer: B

Explanation:
When creating a case in Splunk SOAR, correlation is achieved by searching Splunk Enterprise Security for all related events based on key fields in a risk notable, then deciding how to process and merge those events into the investigation. This ensures that all relevant risk notables are actioned together for a complete response.

NEW QUESTION # 94
What can an engineer use to capture contextual values from a dashboard and create a drilldown to link to a new search?

A. Aliases
B. Tokens
C. Environment variables
D. JSON

Answer: B

Explanation:
Splunk dashboards use tokens to capture and pass contextual values between dashboard elements, user interactions, and drilldown destinations. Therefore, tokens are the mechanism an engineer can use when a user selects a visualization element and the resulting value must be inserted into another search.
A token can represent contextual information derived from an interaction-for example, a selected host, username, source IP, destination, process, or time range. A drilldown can then use that value to construct a more focused search. Conceptually, a dashboard could capture a selected src value and pass it to a destination search so the analyst moves directly from an aggregate visualization to events associated with that source.
This design improves investigation efficiency because the analyst does not need to manually copy values from one interface into another search. It also preserves analytical context as the user moves from summary information to detailed evidence.
Aliases concern alternate representations of fields; environment variables are not the standard dashboard mechanism for passing selected visualization context; and JSON may define dashboard structures but is not itself the contextual-value mechanism being tested.
Study Guide topics: dashboard tokens, drilldowns, contextual searches, analyst workflow, dashboard interactivity, investigation efficiency.

NEW QUESTION # 95
An effective method for building automation workflows is to follow the OODA (Observe, Orient, Decide, Act) loop stages. When transitioning between the Decide and Act stages, what additional step should be included before automating the Act stage?

A. Create a new response template.
B. Validate if the asset, identity, or service has an exemption.
C. Create a new automation playbook.
D. Validate response data paths from the Decide stage.

Answer: B

Explanation:
Before moving from Decide into an automated Act operation, the workflow should determine whether the targeted asset, identity, account, or service is subject to an exemption . This represents an essential safety control for security automation.
The OODA model progresses from observation of an event, through contextual orientation and decision- making, toward action. The final transition can produce consequential operations such as disabling an account, isolating an endpoint, blocking an address, revoking credentials, or modifying infrastructure.
Performing those actions without checking exemptions can create significant business impact.
For example, automatically disabling a service account responsible for production authentication could cause an outage even though the detection itself was technically accurate. Exemption logic allows security engineers to establish guardrails for privileged systems, break-glass accounts, infrastructure services, executive assets, approved scanners, and other protected entities.
Creating a playbook or response template defines how automation is implemented, but neither substitutes for the decision guardrail immediately before execution. Effective security automation therefore combines machine-speed response with explicit environmental constraints.
The OODA automation question is presented on page 2 of the supplied certification material.
Study Guide topics: OODA, SOAR automation, automation guardrails, asset/identity exemptions, response safety, automated remediation.

NEW QUESTION # 96
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